Senior Data Scientist I

Role Overview

At AbbVie Preclinical Safety (PCS) is responsible for creating and executing development plans that support novel drug candidates from nonclinical testing through first-in-human registration and post-marketing phases. The Digital and Computational Pathology Laboratory in PCS is seeking a talented and motivated Data Scientist to develop cutting-edge methodologies in computer vision and AI to power whole slide image analyses in nonclinical drug development. The ideal candidate will possess a strong background in computer science engineering or a related field with emphasis on computer vision and deep learning. The role involves designing and implementing algorithms for anomaly detection segmentation and classification to contribute to the development of accurate and efficient AI-assisted digital pathology readouts. Specific skills required include proficiency in programming languages such as Python and C as well as experience with machine learning frameworks like TensorFlow or PyTorch. Familiarity with image processing libraries and a solid grasp of deep learning models including large vision models are essential. Additionally experience in curating and analyzing large-scale biomedical datasets is highly desirable. The candidate should have strong analytical skills a track record of publication in high-impact journals and an ability to work collaboratively within a multidisciplinary team.
 

Responsibilities

• Conceive design and implement original technical ideas that solve significant scientific or business problems through the integration visualization and analysis of large and complex data especially biomedical images. Routinely demonstrate initiative and creativity in developing technology solutions.
• Demonstrate high proficiency across a wide range of technologies related to the storage transfer integration visualization and analysis of large and diverse data sets. Expertise in software development data warehousing statistics and AI/ML.
• Demonstrate deep knowledge of biomedical research and the pharmaceutical business and utilize this knowledge in the rapid advancement of agile impactful and cost-effective solutions.
• Highly autonomous and productive in performing activities requiring only minimal direction from or interaction with supervisor.
• Initiate new areas of investigation that are meaningful reliable and may be incorporated directly into a scientific or business activity.
• Direct mentorship of others.
• A primary author of publications and presentations; present at external scientific conferences.
• Understand and adhere to corporate standards regarding applicable Corporate and Divisional Policies including code of conduct safety GxP compliance and data security.
   

Qualifications :

• Bachelors Degree and typically 10 years of experience OR Masters Degree and typically 8 years of experience OR PhD in computer science biomedical engineering pathology informatics or a related field with emphasis on computer vision and machine learning and no experience necessary.
• Record of scientific initiative and creativity in research or development activities.
• Capable of independently designing and executing experiments interpreting data and identifying appropriate follow-up strategies.
• Excellent project management skills; ability to multitask and work within timelines.
• Ability to resolve key project hurdles and assumptions by effectively utilizing available information and technical expertise.
• Demonstrated scientific writing skills.
• Global mindset to thrive in a diverse culture and environment.
• Excellent oral and written English communication skills.

Preferred

• Research experience with unsupervised and weakly supervised CNN and RNN architectures such as GANs contrastive learning multiple instance learning and transformer models.
• Subject matter expertise in foundation model(s).
• Familiarity with commercially available digital pathology software (e.g. Visiopharm HALO Patholytix).
• Knowledge regarding machine learning operations (MLOps) principles.

Key Leadership Competencies

• Builds strong relationships with peers and cross functionally with partners outside of team to enable higher performance
• Learns fast grasps the essence and can change course quickly where indicated
• Raises the bar and is never satisfied with the status quo
• Creates a learning environment; open to experimentation and suggestions for improvement
• Embraces the ideas of others nurtures innovation and manages to reality

Additional Information :

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: 

• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this  the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors  including  geographic location and we may ultimately  pay more or less than the posted range. This range may be  modified in the future. 

• We offer a comprehensive package of benefits including paid time off (vacation holidays sick) medical/dental/vision insurance and 401(k) to eligible employees.

• This job is eligible to  participate in our short-term incentive programs. 

Note: No amount of pay is  considered to be wages or compensation until such amount is earned vested  and determinable. The amount and availability of  any bonus commission incentive benefits or any other form of compensation and benefits that are allocable to a   particular employee  remains in the Companys sole and absolute discretion unless and until paid and may be  modified at the Companys sole and absolute discretion  consistent with applicable law. 

AbbVie is an equal opportunity employer and is committed to operating with integrity driving innovation transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. 

US & Puerto Rico only - to learn more visit  & Puerto Rico applicants seeking a reasonable accommodation click here to learn more:

Work :

No

Employment Type :

Full-time